Depression: point-prevalence and risk factors in a North Cyprus household adult cross-sectional study

The interaction of occupational stress and job burnout on depressive symptoms in railway workers in Fuzhou city

BACKGROUND

To explore the relationship between occupational stress, burnout and depressive symptoms among railroad workers in Fuzhou, and to analyze the interaction of burnout and occupational stress on depressive symptoms.

METHODS

In this study, 861 railway employees of Fuzhou railway bureau were randomly selected from January to April, 2022. Occupational stress inventory revised edition (OSI-R), China job burnout inventory (CMBI) and Symptom Checklist-90 (SCL-90) were used to investigate the occupational stress, job burnout and depressive symptoms of railway workers. Interactions associated with depressive symptoms were assessed by linear hierarchical regression analysis and SPSS macros (PROCESS).

RESULTS

Occupational stress, job burnout and depressive symptoms accounted for 50.58%, 93.47%, and 11.19% of the study population, respectively. There were intergroup differences between age, marriage status, and length of service (P < 0.05). Occupational stress and job burnout are the main risk factors for depressive symptoms (OR: 2.01, 95% CI: 1.17-3.45; 1.94, 1.69-2.23, respectively). More importantly, further analysis of the interaction between occupational stress and job burnout showed that those with high levels of job burnout had a high-risk effect on depressive symptoms at high levels of occupational stress.

CONCLUSION

Occupational stress and job burnout are risk factors for depressive symptoms among railroad workers in Fuzhou City. The interaction of job burnout and occupational stress increases the risk of depressive symptoms.

Latent profile analysis of depression among older adults living alone in China

BACKGROUND

The number of older adults living alone has increased significantly. Depression is one of the significant mental health problems they face; classifying depressive conditions into homogeneous subgroups can help discover hidden information.

METHODS

The data comes from the Chinese Longitudinal Healthy Longevity Survey (CLHLS). Latent profile analysis (LPA) was used to identify depression subgroups among elderly living alone, Chi-square tests and Kruskal-Wallis tests were used to univariate analysis, multinomial logistic regression was used to analyze the related factors.

RESULTS

1831 older adults living alone were identified and classified as low-level (30.4 %), moderate-level (55.3 %) and high-level (14.4 %). All variables, except age, were significant in the univariate analysis. Multinomial logistic regression showed that not participating in exercise, sometimes interacting with friends, anxiety symptoms, and impaired IADL were associated with the moderate- and high-level of depression in older adults living alone; good or fair self-rated health and life satisfaction were associated with the low-level of depression in older adults living alone. Anxiety symptoms were associated with high-level of depression in older adults living alone compared to moderate-level; good or fair self-rated health and life satisfaction were associated with moderate-level of depression in older adults living alone.

LIMITATIONS

The CES-D-10 cannot fully determine the presence of depression in elderly people living alone at high-level.

CONCLUSIONS

In future primary health care, it would be more meaningful to provide targeted interventions for different subgroups of depression in older adults living alone.

Socioeconomic Factors Related to Prevalence, Severity, and Contact Coverage of Depression in Primary Health Care

Background

We determine factors related to the prevalence, severity, and contact coverage of depression using the Patient Health Questionnaire-9.

Methods

This cross-sectional study included 1059 individuals who applied to primary health care in Ankara before the onset of pandemic restrictions. Contact coverage was evaluated to include mental health care users.

Results

The prevalence of depression was 22.9%. Individuals who were unemployed (OR: 3.832; 95% CI: 2.053-7.151), women (OR: 1.646; 95% CI: 1.158-2.340), those without social support (OR: 1.933; 95% CI: 1.219-3.065), those who did not receive formal education (OR: 2.631; 95 % CI: 1.312-5.275), lower-income group (OR: 1.528; 95% CI: 1.071-2.180), and unmarried or divorced (OR: 2.644; 95% CI: 1.324-5.281) were found to be at risk of developing depression. Based on the linear regression model including patients diagnosed with depression, individuals who were unemployed (standardized β: 0.190), women (standardized β: 0.075), those without social support (standardized β: 0.096), and those who were unmarried or single (standardized β: 0.147) had the highest scale scores. Contact coverage for depression was 31.0%. Contact coverage was more likely in the upper-income group (OR: 2.239, 95% CI: 1.173-4.273).

Conclusion

Although depression is common among primary health care applicants, contact coverage is low. Developing screening programs for depression in primary health care may help improve community mental health. Socioeconomic factors that contribute to the emergence, severity, and contact coverage of depression indicate health inequalities. The development and severity of depression are mostly due to unemployment, which suggests the importance of employment-enhancing policies.

Unemployment associated with major depression disorder and depressive symptoms: a systematic review and meta-analysis

Objectives. This study investigated the association between unemployment and depressive symptoms and major depression disorder worldwide using a systematic review and meta-analysis. Methods. Search time was limited to all articles published in English until December 2020. In the association between unemployment and depression, first, the results of qualified studies were extracted and, then, the results of each study were pooled with each other using the random effects method. Results. The prevalence of depression in the unemployed is 21%, 95% confidence interval (CI) [18, 24%]. This prevalence for depression symptoms is 24%, 95% CI [20, 28%] and for major depressive disorder is 16%, 95% CI [9-24%]. The association between unemployment and depressive symptoms was odds ratio (OR) 2.06, 95% CI [1.85, 2.30] and the association for major depressive disorder was OR 1.88, 95% CI [1.57, 2.25]. The association between unemployment and depression in men was OR 2.27, 95% CI [1.76, 2.93] and in women was OR 1.62, 95% CI [1.40, 1.87]. Conclusions. What is clear from the present study is that unemployment can lead to a higher prevalence of depressive symptoms and major depressive disorder, thereby undermining the mental health of the unemployed.

Childhood trauma and personality explain more variance in depression scores than sociodemographic and lifestyle factors - Results from the BiDirect Study

OBJECTIVE

Sociodemographic and lifestyle factors, childhood adversities, and personality aspects have been identified as contributing to the onset and course of depression. However, only few studies examined all aspects concomitantly in different populations. This was the objective of the study presented here.

METHODS

The BiDirect Study includes three distinct cohorts: Cross-sectional data for 670 patients with depression (DEP), 283 patients with cardiovascular disease (CVD), and 787 population controls (POP) were available for the present analysis. Participants answered interviews and filled in questionnaires assessing depression details, childhood trauma, the Big Five personality traits, trait resilience as well as socioeconomic and lifestyle factors. Descriptive statistics and hierarchical linear regression analyses were employed to identify those factors, which contributed significantly to the explanation of depression severity scores (assessed by the Center for Epidemiologic Studies Depression Scale, CESD).

RESULTS

In all three cohorts, the psychological variables explained most variance in depression scores (35-44%), while sociodemographic and lifestyle factors explained only very little variance (1-2%). When all postulated predictors were entered in the same regression model, higher neuroticism and lower resilience scores were associated with higher depression severity levels in all three cohorts, while higher childhood trauma proved significant in the cardiovascular and population cohort.

CONCLUSION

Childhood trauma, neuroticism, and low resilience are significantly associated with depression in different populations. Although a considerable part of the variance in depression severity levels was explained by the variables studied here, more research on the impact of lifestyle and social factors on depression is needed.

Higher HEI-2015 Score Is Associated with Reduced Risk of Depression: Result from NHANES 2005-2016

Globally, the total estimated number of people living with depression increased by 18.4% between 2005 and 2015, with the prevalence being 4.8% in 2015. Many nutrient and diet patterns are proven to be correlated to depression, so we conducted this analysis to explore whether the Healthy Eating Index 2015 (HEI-2015) score is associated with depression, and possibly to provide dietary measures to reduce the risk of depression. Data came from the National Health and Nutrition Examination Survey (2005–2016), a cross-sectional and nationally representative database. The analytic sample was limited to adults: (1) age ≥20 with complete information of HEI-2015 and depression; (2) no missing data of demographics, BMI, drinking, smoking, and fasting plasma glucose. HEI-2015 was calculated using the Dietary Interview: Total Nutrient Intakes, First Day data file. Depression was assessed using the Patient Health Questionnaire-9 (PHQ-9). Weighted logistic regression models were used to explore the relationship between the HEI-2015 score and depression. The final study sample included 10,349 adults, with 51.4% of them being men, representing a population of about 167.8 million non-institutionalized U.S. adults. After multivariable adjustment, average HEI status (OR: 0.848, 95% CI: 0.846–0.849) and optimal HEI status (OR: 0.455, 95% CI: 0.453–0.456) were associated with reduced odds of depression. Poor diet quality is significantly associated with elevated depressive symptoms in U.S. adults. Aligning with the Dietary Guidelines for Americans reduces the risk of depression.

Prevalence of common mental disorders in widowhood: A systematic review and meta-analysis

BACKGROUND

Widowed people have a high risk of common mental disorders, however no summary estimates of the prevalences exist. The aim of this study was to conduct a systematic review and meta-analysis of the prevalence of common mental disorders in widowed people in the community.

METHODS

MEDLINE, Embase and PsycInfo were searched for papers reporting on prevalence of common mental disorders and widowhood. Eligible studies were included in random effects meta-analyses of the prevalence of depression and anxiety disorders. Subgroup analyses were performed on method of assessment of depression and age and sex.

RESULTS

The literature search identified 13,781 titles of which 42 were eligible for meta-analysis. The pooled prevalence of depression in studies using a screening scale was 40.6% (33.6%-47.6%) (n = 30). For studies using full diagnostic criteria the pooled prevalence of depression was 19.2% (13.4%-25.0%) (n = 12). Subgroup analyses of age (≥ or < 65) and sex did not show any differences regarding depression. Five studies reported the prevalence of anxiety disorders. The pooled prevalence estimate was 26.9% (8.1%-45.7%).

LIMITATIONS

The prevalence estimates in this study are summary estimates of prevalences from existing literature. Although the reporting bias assessment showed no evidence, there could be some reporting bias, as studies might only present results if there is a high prevalence.

CONCLUSIONS

Widowed people have a high prevalence of depression and anxiety disorders. The high prevalence of depression was independent of age and sex. The study identifies a population group at high risk needing special attention in clinical practice.

Depression and Its Association with Health-Related Quality of Life in Postmenopausal Women in Korea

Menopause is associated with depressive symptoms that can significantly affect a woman’s quality of life. The objective of this study was to evaluate the association between depression and health-related quality of life (HRQoL) in postmenopausal women. In this cross-sectional descriptive study, participants (n = 3860) were selected from the 2013–2015 Korea National Health and Nutrition Examination Survey (KNHANES). The sociodemographic characteristics, medical history of depression, and EQ-5D scores of the participants were obtained from the KNHANES dataset. Age, educational level, and income were associated with HRQoL in these participants. Moreover, depression exerted a considerable influence on HRQoL in postmenopausal women. The adjusted odds ratios in participants with depression for the EQ-5D dimensions were as follows: 5.52 (95% CI = 4.04–7.55, p < 0.001) for anxiety/depression, 3.86 (95% CI = 2.78–5.36, p < 0.001) for usual activities, and 2.52 (95% CI = 1.68–3.78, p < 0.001) for self-care. Our findings suggest a strong association between depression and HRQoL. Hence, preventing the onset or exacerbation of depression may significantly improve quality of life in postmenopausal women.

The association between glaucoma and risk of depression: a nationwide population-based cohort study

Background

Previous cross-sectional studies revealed a higher prevalence of depression among glaucoma patients. However, cohort studies were in lack to build the risk of incident depression after the diagnosis of glaucoma. The aim of our study was to investigate the association between glaucoma and the subsequent risk of developing depression and to assess risk factors associated with depression in glaucoma patients.

Methods

A population-based retrospective cohort study using the Taiwan National Health Insurance Research Database was conducted from January 1, 2001 through December 31, 2011. Glaucoma patients (n = 8777) and age- and gender-matched control subjects without glaucoma (n = 35,108) were enrolled in the study. Kaplan-Meier curves were generated to compare the cumulative hazard of subsequent depression between the glaucoma and control groups. A Cox regression analysis estimated the crude and adjusted hazard ratios (HRs) for depression. Risk factors leading to depression were investigated among the glaucoma patients.

Results

Glaucoma patients had a significantly higher cumulative hazard of depression compared to the control group (p-value < 0.0001). The Cox regression model indicated that the glaucoma group had a significantly higher risk of depression (adjusted HR = 1.71). Within the glaucoma group, significant risk factors for depression included age, female, low income, substance abuse, and living alone. However, the use of β-blocker eye drops and the number of glaucoma medications were not significant risk factors for depression.

Conclusion

Patients with glaucoma are at significantly greater risk of developing depression. Among glaucoma patients, age, female, low income, substance abuse, and living alone were significant risk factors for depression.